﻿﻿﻿The Canadian Centre for Behavioural Neuroscience (http://ccbn.uleth.ca/) has established a new program in Systems and Computational Neuroscience approaches to studying Brain Dynamics, under the sponsorship of a $20M Polaris Award from The Alberta Heritage Foundation for Medical Research.

A postdoctoral / group leader position is available at the Technical University of Chemnitz (Germany) in the Department of Computer Science. The position is initially for three years, starting in October 2009 (or soon thereafter), but with a possibility of renewing.

The following set of tutorials focus on many aspects of statistical data mining, including the foundations of probability, the foundations of statistical data analysis, and most of the classic machine learning and data mining algorithms.
These include classification algorithms such as decision trees, neural nets, Bayesian classifiers, Support Vector Machines and cased-based (aka non-parametric) learning. They include regression algorithms such as multivariate polynomial regression, MARS, Locally Weighted Regression, GMDH and neural nets. And they include other data mining operations such as clustering (mixture models, k-means and hierarchical), Bayesian networks and Reinforcement Learning.